Dim target detection and location from infrared image is studied.
研究红外目标图像中弱小目标的自动检测和定位方法。
A new method of infrared small and dim target detection is proposed.
提出了一种利用局部灰度特征分析进行红外弱小目标检测的新方法。
The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.
实验结果表明，该方法能够稳健、有效地检测红外弱小目标。
A new method of IR small dim target detection based on big clutter background was provided. It worked well in heavy cloud and big moving clutter background.
提出了一种强噪声背景下弱小目标的快速检测方法，解决了在此背景下存在厚云层和大运动杂波的问题。
The technique of small dim target detection in low Signal-to-Noise and low contrast images has been the key technique of the electro-optical detecting system.
低对比度、低信噪比弱小目标探测技术是光电成像探测系统的关键技术之一。
New algorithms for dim target detection in infrared image are studied and proposed, it has been proved that the whole algorithm is quite effective in software actualize.
探讨了新型的适用于红外图像弱目标检测的算法，并应用于软件开发中，取得了良好的效果。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
A new method, named two point IRFPA nonuniformity correction method based on integration adjustment and noise equilibrium , to correct IRFPA nonuniformity in dim target detection system was presented.
提出了一种在弱目标检测系统中，线列或面阵红外焦平面的非均匀校正算法-基于可变积分时间和均衡噪声的两点现场校正算法。
Simulations of real IR image sequence with low SNR prove the algorithm can effectively detect dim moving target, and has high detection probability and excellent real time performance.
仿真实验结果表明，该算法具有较高的检测率和良好的实时特性，能有效地检测出低信比红外图像序列中的弱小运动目标。
A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.
提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。
A simple and practical scheme about dim small target detection in cloudy background is given.
介绍了一种简单可行的在云层背景下检测小目标的方案。
Dim small target detection and tracking is the key technology of the infrared surveillance system, precise guidance system, and satellite remote sensing system.
弱小目标的检测与跟踪是红外预警系统、精确制导系统、卫星遥感系统中的一项关键技术。
For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.
针对红外搜索跟踪系统对复杂云层背景条件下红外弱小目标检测问题，提出了一种低虚警率的弱小目标稳健检测算法。
A novel pipeline detection algorithm for dim target was presented.
提出了一种弱小目标的管线检测算法。
Detection of dim target in infrared image with strong noise and background is the emphasis and difficulty of target detection.
强噪声背景下红外图像中弱小目标的检测一直是研究的重点和难点。
This paper researches the application of morphology reconstruction algorithm in dim point target detection and tracing, mainly in background estimation and post processing stage after detection.
重点研究了形态学重构算法在微弱目标检测和跟踪中的应用，主要体现在对原始图像的背景估计过程和检测后处理过程。
Detection of infrared dim small target becomes rather difficult if the target lies in a complicated background.
当目标处于复杂背景中时，红外弱小目标检测将变得更加困难。
The project of this thesis is supported by the National Science Foundation of China, named "Detection of small and dim target in infrared based on background prediction" (60007007).
本论文课题来源于国家自然科学基金项目“基于背景预测的红外弱小目标检测技术”(60007007)。
Based on the features of infrared image and the speciality of fractal dimension, a method of detection infrared dim small target based on fractal dimension was presented.
针对红外图像的特点及分形分维的特性，提出了基于分维像的红外弱小目标检测方法。
A new method was provided based on the empirical mode decomposition (EMD) to solve the difficulties of infrared image dim small target detection in complex background of sky and sea.
针对红外图像中的小目标检测，提出了一种利用经验模态分解(EMD)提取海空背景下红外弱小目标的新方法。
For the dim point moving target detection of the CCD photoelectric image sequences, a new algorithm based on transform domain feature is proposed.
针对CCD光电序列探测图像中的弱小运动目标检测问题，提出了一种运动星空背景下的基于变换域特征的弱小目标检测算法。
For the dim point moving target detection of the CCD photoelectric image sequences, a new algorithm based on transform domain feature is proposed.
针对CCD光电序列探测图像中的弱小运动目标检测问题，提出了一种运动星空背景下的基于变换域特征的弱小目标检测算法。
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